Multiple Linear Regression - Estimated Regression Equation
TimeIn[t] = + 694.306022592399 + 0.402567652457246Sunset[t] + 0.923736305761433Temperature[t] -0.255747058486602Humidity[t] -13.8133649195182Rain[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)694.306022592399230.1223483.01710.0052690.002635
Sunset0.4025676524572460.2043241.97020.0584250.029213
Temperature0.9237363057614330.6034611.53070.1366720.068336
Humidity-0.2557470584866020.171014-1.49550.1455950.072797
Rain-13.81336491951827.541631-1.83160.0772990.03865


Multiple Linear Regression - Regression Statistics
Multiple R0.706084256173618
R-squared0.498554976816251
Adjusted R-squared0.429390146032286
F-TEST (value)7.20821508800441
F-TEST (DF numerator)4
F-TEST (DF denominator)29
p-value0.00037032903933476
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.7486053088366
Sum Squared Residuals6308.11939811943


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171197.7728487369119.227151263085
212021203.06845510891-1.06845510891278
311801203.6275504294-23.6275504293986
411671197.82530347746-30.8253034774567
511861165.9916554182320.0083445817674
611681167.617804997040.382195002960078
711421154.81319283608-12.8131928360816
811471171.03032944889-24.0303294488864
911831177.969344636325.03065536368038
1011491180.06086500942-31.0608650094182
1111971183.7820376027313.2179623972652
1212101182.3226696457627.6773303542369
1312061189.5222528909816.4777471090151
1411961178.5285050322617.4714949677406
1511901179.0978217688310.9021782311746
1611751173.689239411151.31076058884796
1711861175.7194345232510.2805654767527
1811721169.988926309062.0110736909449
1911521151.422464966360.577535033641707
2011541153.078377094570.921622905426048
2111681166.93934321761.06065678239519
2211801176.364090252153.63590974784562
2311691164.906416942244.09358305775873
2411661170.2165513876-4.21655138759886
2511771171.660717406255.33928259375086
2611681163.871794486844.12820551316208
2711601160.20101933576-0.201019335756171
2811471156.07650468771-9.07650468771363
2911611162.90945764893-1.90945764893342
3011431154.30087135125-11.3008713512478
3111611168.59316867548-7.59316867548226
3211611171.83592028198-10.8359202819783
3311681160.459660246157.54033975385421
3411721174.73540473644-2.73540473644049


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.4070661729509480.8141323459018960.592933827049052
90.9823182958148960.0353634083702080.017681704185104
100.9999662776572826.74446854360432e-053.37223427180216e-05
110.9999975199886184.96002276374875e-062.48001138187437e-06
120.9999996968242866.06351428684862e-073.03175714342431e-07
130.9999985861213772.82775724619403e-061.41387862309702e-06
140.9999974535133945.09297321289104e-062.54648660644552e-06
150.9999951523256019.69534879741558e-064.84767439870779e-06
160.9999814677226513.70645546988736e-051.85322773494368e-05
170.99997046032515.90793498010933e-052.95396749005466e-05
180.999903939523390.0001921209532208439.60604766104214e-05
190.9997197375837440.0005605248325115670.000280262416255783
200.999281117792940.001437764414119860.000718882207059929
210.9988581222900590.002283755419881860.00114187770994093
220.996560955273440.006878089453120110.00343904472656006
230.9897955451823680.02040890963526460.0102044548176323
240.9899985099916150.02000298001677090.0100014900083855
250.9737734678331530.05245306433369320.0262265321668466
260.9250020208721960.1499959582556080.0749979791278038


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level130.684210526315789NOK
5% type I error level160.842105263157895NOK
10% type I error level170.894736842105263NOK